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Predicting Twitter User Demographics from Names Alone

2018-06-01WS 2018Code Available0· sign in to hype

Zach Wood-Doughty, Nicholas Andrews, Rebecca Marvin, Mark Dredze

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Abstract

Social media analysis frequently requires tools that can automatically infer demographics to contextualize trends. These tools often require hundreds of user-authored messages for each user, which may be prohibitive to obtain when analyzing millions of users. We explore character-level neural models that learn a representation of a user's name and screen name to predict gender and ethnicity, allowing for demographic inference with minimal data. We release trained models1 which may enable new demographic analyses that would otherwise require enormous amounts of data collection

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